A six-month online Datawarehousing on AWS offers comprehensive instruction in Amazon Web Services (AWS) cloud computing technologies.
The Datawarehousing on AWS program focuses on leveraging Amazon Web Services to build and manage data warehouses. It includes training on Amazon Redshift for scalable, cost-effective data storage and query processing. Participants learn to design, deploy, and optimize data warehouses using AWS services like S3, Glue, and QuickSight. The program covers data ingestion, ETL (Extract, Transform, Load) processes, and analytics. Emphasis is placed on security, compliance, and cost management. Practical labs and real-world projects are included to reinforce learning. The curriculum is suited for data engineers, architects, and analysts. Certification is offered upon successful completion.
₹65,000
Programming and scripting/ AWS services/ problem-solving/ Basic understanding of cloud computing
400 Hours
| METHODS | REGISTRATION FEE | PROGRAM FEE | TOTAL FEE |
|---|---|---|---|
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 1 |
₹3,000 | ₹50,000 | ₹53,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For Indian Students) Track - 2 |
- | ₹50,000 | ₹50,000 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 1 |
$50 | $290 | $340 |
| I. Lumpsum Payment Scheme
(Along with the filled up application) (For International Students) Track - 2 |
- | $290 | $340 |
Notes: GST of 18% is applicable as per Govt of India notification on total course fee.
Students residing outside India need to pay additional fee towards courier charges.
E Prospectus and Application Form
Empowering through innovative solutions and technology integration.
Introduction to Data Warehousing Concepts
AWS Fundamentals for Data Warehousing
Designing Data Warehouses on AWS
Implementing Data Warehouses with Amazon Redshift
Data Loading Techniques and Tools
Data Transformation and ETL Processes
Query Optimization and Performance Tuning
Security Best Practices for Data Warehousing on AWS
Advanced Redshift Features and Administration
Integrating AWS Data Services (S3, RDS, DynamoDB)
Real-Time Data Warehousing with Kinesis
Data Lake Architecture and Best Practices
Machine Learning Integration with Data Warehousing
Monitoring and Auditing Data Warehouse Performance
Cost Management and Optimization Strategies
Capstone Project: Designing and Implementing a Data Warehouse on AWS
The AWS Master Program is an advanced training and certification initiative offered by Amazon Web Services (AWS) to help professionals deepen their expertise in cloud computing and AWS services. It is designed for individuals who aim to become proficient in architecting, designing, and managing AWS solutions at an advanced level.
To qualify for the AWS Master Program, candidates typically need to hold multiple AWS certifications, including the AWS Certified Solutions Architect - Professional, AWS Certified DevOps Engineer - Professional, and AWS Certified SysOps Administrator - Associate certifications. Additionally, candidates should have hands-on experience designing, deploying, and managing complex AWS environments.
Completing the AWS Master Program demonstrates a high level of proficiency in AWS technologies, which can lead to increased job opportunities, career advancement, and higher earning potential. Additionally, participants gain access to exclusive networking opportunities, advanced training materials, and recognition as a certified AWS Master by Amazon Web Services.
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